AI/ML PhD Intern (Summer 2026)

Sigma Computing•San Francisco, CA

59d•$80 - $90•Onsite

About The Position

At Sigma, we're not just adding AI-we're building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we're pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions-fast. You can learn more about our vision for AI/ML at Sigma in our recent blog post. That's where you come in. As an AI/ML PhD Intern, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.

Requirements

Current PhD student studying AI/ML at a U.S. accredited university
Deep understanding of machine learning, including deep learning algorithms, model architectures and optimization
Baseline understanding of building and deploying production-grade AI/ML systems
Knowledge of the full ML lifecycle: data curation, training, deployment, monitoring
Desire to bridge research and application-bringing new AI ideas from concept to impactful deployment.

Nice To Haves

You've built agents that can plan, reason, and use tools
You've fine-tuned or trained foundation models (language or multimodal) for novel domains
You know your way around cloud infrastructure (AWS, GCP, Azure)
You've worked in a fast-moving startup or high-growth environment

Responsibilities

Conduct original AI/ML research in search, recommendations, natural language processing, agentic workflows and more
Prototype and productionize AI systems that feel intuitive but do a lot under the hood
Tackle novel UX problems at the intersection of AI, analytics, and data apps
Contribute to the development of scalable AI/ML infrastructure for experimentation, training, and evaluation of large-scale models.